https://github.com/docker-hub-frolvlad/docker-alpine-python-machinelearning

Small Docker image with Python Machine Learning tools (~180MB) https://hub.docker.com/r/frolvlad/alpine-python-machinelearning/

alpine docker-image machine-learning numpy pandas python scikit-learn scipy

Last synced: 07 Nov 2024

https://github.com/yandexdataschool/mlatimperial2017

Materials for the course of machine learning at Imperial College organized by Yandex SDA

deep-learning imperial-college keras lectures machine-learning practice scikit-learn sklearn theano yandex

Last synced: 06 Nov 2024

https://github.com/radix-ai/conformal-tights

👖 Conformal Tights adds conformal prediction of coherent quantiles and intervals to any scikit-learn regressor or Darts forecaster

conformal-prediction forecasting machine-learning prediction-intervals python quantile-regression scikit-learn time-series-forecasting

Last synced: 03 Aug 2024

https://github.com/skekre98/nba-search

flask application designed to explore NBA statistics :basketball:

beautifulsoup4 flask javascript pandas python3 scikit-learn

Last synced: 27 Oct 2024

https://github.com/zjuearthdata/geochemistrypi

an open-sourced highly automated machine learning Python framework for data-driven geochemistry discovery

dash data-science fastapi flaml geochemistry mlflow nodejs ray reactjs scikit-learn typer

Last synced: 10 Oct 2024

https://github.com/iamdecode/sklearn-pmml-model

A library to parse and convert PMML models into Scikit-learn estimators.

machine-learning pmml scikit-learn sklearn

Last synced: 01 Nov 2024

https://github.com/petrobras/bibmon

Python package that provides predictive models for fault detection, soft sensing, and process condition monitoring.

echo-state-network fault-detection fault-diagnosis machine-learning neural-networks pca process-monitoring process-systems-engineering scikit-learn soft-sensor time-series

Last synced: 13 Nov 2024

https://github.com/csinva/imodelsx

Scikit-learn friendly library to interpret, and prompt-engineer text datasets using large language models.

ai deep-learning explainability huggingface interpretability language-model machine-learning ml natural-language-processing natural-language-understanding neural-network pytorch scikit-learn text text-classification transformer-models xai

Last synced: 10 Oct 2024

https://github.com/glemaitre/pyparis-2018-sklearn

PyParis tutorial on machine learning using scikit-learn

data-science machine-learn pandas scikit-learn

Last synced: 01 Nov 2024

https://github.com/noahgift/real_estate_ml

Machine Learning for Real Estate

jupyter-notebook knn machine-learning pandas plotly python real-estate scikit-learn unsupervised-learning

Last synced: 28 Oct 2024

https://github.com/csinva/imodelsX

Scikit-learn friendly library to interpret, and prompt-engineer text datasets using large language models.

ai deep-learning explainability huggingface interpretability language-model machine-learning ml natural-language-processing natural-language-understanding neural-network pytorch scikit-learn text text-classification transformer-models xai

Last synced: 13 Nov 2024

https://github.com/scikit-mine/scikit-mine

scikit-mine : pattern mining in Python

datamining minimum-description-length pattern-mining scikit scikit-learn

Last synced: 30 Oct 2024

https://github.com/bretttolbert/verbecc

Complete Conjugation of any Verb(e) in Catalan, French, Italian, Portuguese, Romanian or Spanish and conjugate unknown verbs using Machine Learning

catalan catalan-language conjugation conjugator french french-language french-nlp linguistics machine-learning natural-language-processing nlp portuguese-language portuguese-verbs romanian romanian-language scikit-learn spanish-language spanish-verbs verb-conjugation verbs

Last synced: 07 Nov 2024

https://github.com/IliaZenkov/sklearn-audio-classification

An in-depth analysis of audio classification on the RAVDESS dataset. Feature engineering, hyperparameter optimization, model evaluation, and cross-validation with a variety of ML techniques and MLP

audio audio-data classification deep-learning-tutorial deep-neural-networks dnns emotion emotion-detection emotion-recognition feature-engineering machine-learning machine-learning-tutorials mlp-model model-evaluation ravdess-dataset scikit-learn sklearn

Last synced: 28 Oct 2024

https://github.com/sdpython/mlinsights

Extends scikit-learn with new models, transformers, metrics, plotting.

algorithms machine-learning python3 scikit-learn

Last synced: 13 Nov 2024

https://github.com/polyaxon/polyaxon-examples

Code for tutorials and examples

deep-learning deeplearning horovod jupyter-notebook keras kubeflow kubernetes machine-learning mlops mpi mpijob mxnet nerual-network polyaxon pytorch pytorchjob scikit-learn tensorflow tfjob

Last synced: 05 Aug 2024

https://github.com/jianzhnie/AutoTabular

Automatic machine learning for tabular data. ⚡🔥⚡

automl catboost data-science deep-learning feature-engineering hpo lightgbm machine-learning pytorch-lightning scikit-learn structured-data tabular-data xgboost

Last synced: 05 Aug 2024

https://github.com/jianzhnie/autotabular

Automatic machine learning for tabular data. ⚡🔥⚡

automl catboost data-science deep-learning feature-engineering hpo lightgbm machine-learning pytorch-lightning scikit-learn structured-data tabular-data xgboost

Last synced: 27 Oct 2024

https://github.com/neurodata/treeple

Scikit-learn compatible decision trees beyond those offered in scikit-learn

causal-inference causal-machine-learning cython decision-trees estimation machine-learning python random-forest scikit-learn

Last synced: 13 Nov 2024

https://github.com/educationaltestingservice/rsmtool

A Python package to facilitate research on building and evaluating automated scoring models.

automated-scoring-engines fairness hacktoberfest python scikit-learn scoring-models visualization

Last synced: 13 Nov 2024

https://github.com/sdpython/mlprodict

Productionize machine learning predictions, with ONNX or without

machine-learning onnx python3 scikit-learn

Last synced: 26 Sep 2024

https://github.com/bpesquet/mlkatas

(Phased out) A series of challenges for practicing your Machine Learning and Deep Learning skills

activity assignment challenge exercise kata keras machine-learning nbgrader numpy python scikit-learn

Last synced: 10 Oct 2024

https://github.com/apinf/ml-rest

REST API (and possible UI) for Machine Learning workflows

machine-learning python rest-api scikit-learn

Last synced: 04 Aug 2024

https://github.com/polyaxon/hypertune

A library for performing hyperparameter optimization

data-science deep-learning hyperparameter-optimization hyperparameter-tuning machine-learning mlops numpy scikit-learn workflow

Last synced: 10 Oct 2024

https://github.com/datasciencecampus/pyGrams

Extracts key terminology (n-grams) from any large collection of documents (>1000) and forecasts emergence

dsc-projects emergence-calculations natural-language-processing nlp nltk patents python scikit-learn tf-idf

Last synced: 27 Oct 2024

https://github.com/oneoffcoder/books

A collection of online books for data science, computer science and coding!

books coder computer-science data-science docker java python r scikit-learn scratch software software-development software-engineering spark sphinx tutorials

Last synced: 05 Nov 2024

https://github.com/ashishpatel26/datascienv

datascienv is package that helps you to setup your environment in single line of code with all dependency and it is also include pyforest that provide single line of import all required ml libraries

catboost data-science data-science-env datascienv imbalanced-data lightgbm matplotlib numpy pandas pycaret scikit-learn seaborn tensorflow2 xgboost

Last synced: 10 Oct 2024

https://github.com/AFAgarap/wisconsin-breast-cancer

[ICMLSC 2018] On Breast Cancer Detection: An Application of Machine Learning Algorithms on the Wisconsin Diagnostic Dataset

binary-classification classification linear-regression logistic-regression machine-learning machine-learning-algorithms multilayer-perceptron nearest-neighbours-classifier recurrent-neural-network scikit-learn softmax-regression supervised-learning support-vector-machine tensorflow

Last synced: 04 Aug 2024

https://github.com/rodrigo-arenas/kafkaml-anomaly-detection

Project for real-time anomaly detection using Kafka and python

anomaly-detection apache-karaf confluent-kafka kafka machine-learning python real-time-analytics real-time-processing scikit-learn scikit-learning sklearn stream-processing

Last synced: 22 Oct 2024

https://github.com/tgsmith61591/skoot

A package for data science practitioners. This library implements a number of helpful, common data transformations with a scikit-learn friendly interface in an effort to expedite the modeling process.

data-science imbalanced-data machine-learning pandas python scikit-learn skutil

Last synced: 07 Nov 2024

https://github.com/arosh/BM25Transformer

(Python) transform a document-term matrix to an Okapi/BM25 representation

information-retrieval machine-learning natural-language-processing python scikit-learn

Last synced: 05 Aug 2024

https://github.com/reddyprasade/machine-learning-with-scikit-learn-python-3.x

In general, a learning problem considers a set of n samples of data and then tries to predict properties of unknown data. If each sample is more than a single number and, for instance, a multi-dimensional entry (aka multivariate data), it is said to have several attributes or features. Learning problems fall into a few categories: supervised learning, in which the data comes with additional attributes that we want to predict (Click here to go to the scikit-learn supervised learning page).This problem can be either: classification: samples belong to two or more classes and we want to learn from already labeled data how to predict the class of unlabeled data. An example of a classification problem would be handwritten digit recognition, in which the aim is to assign each input vector to one of a finite number of discrete categories. Another way to think of classification is as a discrete (as opposed to continuous) form of supervised learning where one has a limited number of categories and for each of the n samples provided, one is to try to label them with the correct category or class. regression: if the desired output consists of one or more continuous variables, then the task is called regression. An example of a regression problem would be the prediction of the length of a salmon as a function of its age and weight. unsupervised learning, in which the training data consists of a set of input vectors x without any corresponding target values. The goal in such problems may be to discover groups of similar examples within the data, where it is called clustering, or to determine the distribution of data within the input space, known as density estimation, or to project the data from a high-dimensional space down to two or three dimensions for the purpose of visualization (Click here to go to the Scikit-Learn unsupervised learning page).

classification consists machine-learning machine-learning-algorithms prediction python python-3 regression reinforcement-learning scikit-image scikit-learn scikit-learn-api scikit-learn-python scikit-model semi-supervised-learning sklearn supervised-learning unsupervised-learning vector

Last synced: 28 Oct 2024

https://github.com/crflynn/skranger

scikit-learn compatible Python bindings for ranger C++ random forest library

machine-learning random-forest scikit-learn

Last synced: 08 Nov 2024

https://github.com/kaggledatasets/kaggledatasets

Collection of Kaggle Datasets ready to use for Everyone (Looking for contributors)

data-science datasets deep-learning kaggle keras machine-learning python pytorch scikit-learn tensorflow

Last synced: 13 Oct 2024

https://github.com/fridiculous/django-estimators

a django app to persist and retrieve scikit learn machine learning models

django machine-learning scikit-learn

Last synced: 11 Oct 2024

https://github.com/paucablop/chemotools

Integrate your chemometric tools with the scikit-learn API 🧪 🤖

artificial-intelligence autoencoders chemometrics deep-learning hacktoberfest ir-spectroscopy machine-learning multivariate-analysis nir-spectroscopy python raman-spectroscopy scikit-learn sklearn spectra spectroscopy

Last synced: 30 Oct 2024

https://github.com/bfortuner/computer-vision

Computer vision sabbatical study materials

computer-vision deep-learning jupyter machine-learning opencv pytorch scikit-learn

Last synced: 08 Nov 2024

https://github.com/squlearn/squlearn

scikit-learn interface for quantum algorithms

machine-learning python quantum quantum-computing quantum-machine-learning scikit-learn

Last synced: 31 Oct 2024

https://github.com/packtworkshops/the-deep-learning-with-keras-workshop

An Interactive Approach to Understanding Deep Learning with Keras

artificial-neural-networks classification cross-validation decision-trees hyperparameter-tuning k-means-clustering keras linear-transformation logistic-regression machine-learning magnetic-resonance-imaging model-evaluation model-tuning regression regularization scalars scikit-learn support-vector-machine tensorflow vectors

Last synced: 08 Nov 2024

https://github.com/ottogroup/dstoolbox

Tools that make working with scikit-learn and pandas easier.

machine-learning pandas scikit-learn

Last synced: 07 Nov 2024

https://github.com/jaysonsantos/captcha-breaker

A simple machine learning powered captcha breaker

captcha-breaker scikit-image scikit-learn

Last synced: 04 Aug 2024

https://github.com/andriymulyar/sklearn-oblique-tree

a python interface to OC1 and other oblique decision tree implementations

cart-linear-combinations decision-tree oblique-classifier-1 oblique-decision-tree oc1 scikit-learn

Last synced: 28 Oct 2024

https://github.com/samcomber/spacv

Spatial cross-validation in Python.

cross-validation data-science geographic-data-science machine-learning python scikit-learn scikitlearn-machine-learning sklearn spatial-data-science

Last synced: 10 Oct 2024

https://github.com/lachhebo/pyclustertend

A python package to assess cluster tendency

cluster-analysis cluster-tendency clustering clustertendency data-science hopkins ivat machine-learning python scikit-learn statistics vat visual-assessment-cluster-tendency

Last synced: 10 Oct 2024

https://github.com/SamComber/spacv

Spatial cross-validation in Python.

cross-validation data-science geographic-data-science machine-learning python scikit-learn scikitlearn-machine-learning sklearn spatial-data-science

Last synced: 27 Oct 2024

https://github.com/data-science-lab-amsterdam/skippa

SciKIt-learn Pipeline in PAndas

data-science machine-learning pandas pandas-dataframe pipeline preprocessing python scikit-learn sklearn

Last synced: 07 Nov 2024

https://github.com/trainingbypackt/natural-language-processing-fundamentals

Use Python and NLTK to build out your own text classifiers and solve common NLP problems

api binary-classifier latent-dirichlet-allocation lda linear-regression markov-chain natural-language-processing nlp pandas python scikit-learn supervised tokenization unsupervised

Last synced: 14 Nov 2024

https://github.com/raamana/kernelmethods

Foundational library for Kernel methods in pattern analysis and machine learning

data-science data-structures kernel kernel-functions kernel-methods kernels machine-learning metric-learning mkl multiple-kernel-learning pattern-analysis pattern-recognition scikit-learn svm

Last synced: 07 Nov 2024

https://github.com/booleanhunter/ml-supervised-learning

A repository to try out Supervised Learning algorithms in Machine Learning

jupyter-notebook machine-learning python python3 scikit-learn

Last synced: 22 Oct 2024

https://github.com/oroszgy/ScriptingLanguagesCourseMaterials

Python and Lua tutorials

course-materials lua numpy python scikit-learn scripting-language tutorial

Last synced: 07 Aug 2024

https://github.com/oroszgy/scriptinglanguagescoursematerials

Python and Lua tutorials

course-materials lua numpy python scikit-learn scripting-language tutorial

Last synced: 08 Nov 2024

https://github.com/analyticalmonk/kmeans_elbow

Code for determining optimal number of clusters for K-means algorithm using the 'elbow criterion'

kmeans kmeans-clustering machine-learning python scikit-learn sklearn

Last synced: 08 Nov 2024

https://github.com/iamhankai/euro2016predictor

Soccer Matches Predictor using Machine Learning

machine-learning scikit-learn soccer

Last synced: 29 Oct 2024

https://github.com/AllenInstitute/mouse_connectivity_models

Python package providing mesoscale connectivity models for mouse.

neuroscience open-science python scikit-learn

Last synced: 12 Nov 2024

https://github.com/lenguyenthedat/kaggle-for-fun

All my submissions for Kaggle contests that I have been, and going to be participating.

kaggle kaggle-contest mnist neural-network python scikit-learn xgboost

Last synced: 08 Nov 2024

https://github.com/pythoncharmers/maxentropy

Maximum entropy and minimum divergence models in Python

bayesian-inference kullback-leibler-divergence maximum-entropy minimum-divergence prior-distribution python scikit-learn

Last synced: 10 Oct 2024

https://github.com/palewire/storysniffer

Inspect a URL and estimate if it contains a news story

data-journalism journalism jupyter-notebook machine-learning news nlp python scikit-learn

Last synced: 11 Oct 2024

https://github.com/pjaselin/cubist

A Python package for fitting Quinlan's Cubist regression model

data-science machine-learning python regression scikit-learn

Last synced: 14 Nov 2024

https://github.com/bpesquet/mlhandbook

(Phased out) My textbook for teaching Machine Learning

deep-learning jupyter-notebook jupyterbook kata keras machine-learning nbgrader numpy python pytorch scikit-learn

Last synced: 13 Nov 2024

https://github.com/aramis-lab/AD-ML

Framework for the reproducible classification of Alzheimer's disease using machine learning

alzheimer-disease machine-learning neuroimaging python scikit-learn

Last synced: 12 Nov 2024

https://github.com/raamana/confounds

Conquering confounds and covariates: methods, library and guidance

biostatistics classification combat confound confounding covariates cross-validation deconfounding machine-learning neuroimaging neuroscience regression scikit-learn statistics

Last synced: 07 Nov 2024

https://github.com/apachecn/scipycon-2018-sklearn-tut-zh

:book: [译] SciPyCon 2018 Sklearn 教程

machine-learning python scikit-learn scipy2018 tutorial

Last synced: 12 Nov 2024

https://github.com/gregyjames/aiportfolio

Use AI to generate a optimized stock portfolio

finance numpy pandas portfolio python python3 scikit-learn stock stock-market stocks yahoo

Last synced: 10 Nov 2024

https://github.com/microsoft/augmented-interpretable-models

Interpretable and efficient predictors using pre-trained language models. Scikit-learn compatible.

ai artificial-intelligence deep-learning distillation embedding explainability huggingface interpretability language-model large-language-models linear linear-models logistic-regression machine-learning ml neural-network scikit-learn sentiment-classification transformer transparent

Last synced: 07 Oct 2024

https://github.com/alleninstitute/neuroglia

a Python machine learning library for neurophysiology data

calcium-imaging electrophysiology machine-learning neurophysiology neuroscience nwb open-science python scikit-learn

Last synced: 12 Oct 2024

https://github.com/petronetto/machine-learning-alpine

Alpine Container for Machine Learning

alpine docker jupyter-notebook keras machine-learning matplotlib numpy pandas python scikit-learn seaborn tensorflow xgboost

Last synced: 09 Nov 2024

https://github.com/curiousily/deploy-keras-deep-learning-model-with-flask

Build Deep Neural Network model in Keras and deploy a REST API to production with Flask on Google App Engine

airbnb deep-learning google-appengine jupyter-notebook keras machine-learning neural-network price-prediction python regression rest-api scikit-learn tensorflow

Last synced: 11 Nov 2024

https://github.com/axegon/sklite-dart

Transpile scikit-learn models to Flutter

dart flutter scikit-learn

Last synced: 10 Nov 2024

https://github.com/dataprofessor/youtube

Collection of YouTube videos on data science on the Data Professor YouTube channel.

bioinformatics data-professor data-science data-science-toolbox dataprofessor datascience machine-learning machinelearning python python-data-science r scikit-learn streamlit youtube youtube-channel

Last synced: 11 Oct 2024

https://github.com/pavelkomarov/projection-pursuit

An implementation of multivariate projection pursuit regression and univariate classification

classification coveralls friedman machine-learning projection-pursuit regression scikit-learn sphinx travis-ci

Last synced: 10 Oct 2024

https://github.com/Seyed-Ali-Ahmadi/Python-for-Remote-Sensing

python codes for remote sensing applications will be uploaded here. I will try to teach everything I learn during my projects in here.

deep-learning gdal gdal-python gdal-python-libraries hyperspectral-image-classification hyperspectral-imaging lidar lidar-point-cloud machine-learning multispectral-images pdal point-cloud python python-pdal remote-sensing satellite-data satellite-imagery satellite-images scikit-learn spacenet-dataset

Last synced: 15 Nov 2024

https://github.com/jvalegre/robert

Automated machine learning protocols that start from CSV databases of descriptors or SMILES and produce publication-quality results in Chemistry studies with only one command line.

automation cheminformatics machine-learning python reproducibility scikit-learn workflows

Last synced: 02 Nov 2024

https://github.com/8bit-pixies/scikit-feature

feature-selection scikit-learn

Last synced: 31 Oct 2024

https://github.com/rtlee9/serveit

Simple API serving for Python ML models

keras machine-learning machine-learning-api pytorch restful-api scikit-learn tensorflow

Last synced: 27 Oct 2024

https://github.com/tirthajyoti/mlr

Multiple linear regression with statistical inference, residual analysis, direct CSV loading, and other features

analytics data-analytics data-science linear-regression machine-learning modeling predictive-modeling python regression scikit-learn statiscal-learning statistical-analysis statistics

Last synced: 12 Oct 2024

https://github.com/nikolaydubina/go-ml-benchmarks

⏱ Benchmarks of machine learning inference for Go

benchmarks cpp go grpc inference machine-learning python scikit-learn xgboost

Last synced: 13 Oct 2024

https://github.com/crflynn/skgrf

scikit-learn compatible Python bindings for grf (generalized random forests) C++ random forest library

generalized-random-forest machine-learning random-forest scikit-learn

Last synced: 08 Nov 2024

https://github.com/angristan/palette

Extract color palette from an image with k-means and k-NN // Project for the AI/ML class at Hanyang University

color-palette flask kmeans knn opencv pandas python scikit-learn

Last synced: 28 Oct 2024

https://github.com/maruedt/chemometrics

Python library for chemometric data analysis

chemometrics data-analysis ihm mcr mvda pca pls preprocessing python scikit-learn spectroscopy statistics

Last synced: 13 Oct 2024

https://github.com/lenguyenthedat/minimal-datascience

This repository contains all the code and dataset used in my blog series: Minimal Data Science

blog-series data-science kaggle machine-learning python scikit-learn xgboost

Last synced: 08 Nov 2024

https://github.com/timzatko/sklearn-nature-inspired-algorithms

Nature-inspired algorithms for hyper-parameter tuning of Scikit-Learn models.

data-science hyper-parameter-optimization hyper-parameter-tuning nature-inspired-algorithms python scikit-learn

Last synced: 11 Oct 2024

https://github.com/revca-anai/anai

A to Z of ML

automation automl machine-learning machine-learning-algorithms python scikit-learn sklearn

Last synced: 13 Oct 2024

https://github.com/centre-for-humanities-computing/tweetopic

Blazing fast topic modelling for short texts.

dirichlet-process-mixtures dmm gibbs-sampling gsdmm machine-learning mcmc nlp python scikit-learn topic-modeling tweet tweet-analysis visualization

Last synced: 09 Nov 2024

https://github.com/steven2358/sklearn-matlab

Machine learning in Matlab using scikit-learn syntax

machine-learning matlab scikit-learn

Last synced: 13 Oct 2024

https://github.com/ml-libs/mlserve

mlserve turns your python models into RESTful API, serves web page with form generated to match your input data.

machine-learning mlserve model-deployment model-serving scikit-learn

Last synced: 14 Oct 2024

https://github.com/astrazeneca-cgr-publications/mantis-ml-release

mantis-ml: Stochastic semi-supervised learning to prioritise genes from high throughput genomic screens

auto-ml genomics keras machine-learning scikit-learn tensorflow

Last synced: 02 Nov 2024

https://github.com/phanakata/ml_for_kirigami_design

Python package to model and to perform topology optimization for graphene kirigami using deep learning

convolutional-neural-networks deep-learning graphene lammps material-design scikit-learn tensorflow tensorflow-models topology-optimization

Last synced: 10 Oct 2024

https://github.com/laugustyniak/textlytics

Text processing library for sentiment analysis and related tasks

classification natural-language-processing nlp opinion-mining scikit-learn sentiment-analysis supervised-learning word-embeddings

Last synced: 03 Aug 2024

https://github.com/neuro-ml/reskit

A library for creating and curating reproducible pipelines for scientific and industrial machine learning

data-preparation grid-search pipeline prepare-data python reproducible-experiments reproducible-research scikit-learn

Last synced: 10 Nov 2024

https://github.com/csinva/disentangled-attribution-curves

Using / reproducing DAC from the paper "Disentangled Attribution Curves for Interpreting Random Forests and Boosted Trees"

ai artificial-intelligence boosting ensemble-model explainable-ai feature-engineering feature-importance interpretability machine-learning ml python random-forest random-forests scikit-learn statistics stats

Last synced: 22 Oct 2024

https://github.com/maxhalford/starboost

:star::rocket: Gradient boosting on steroids

gradient-boosting machine-learning python scikit-learn

Last synced: 22 Oct 2024

https://github.com/noahgift/spot_price_machine_learning

Machine Learning for Spot Prices

aws click ecu jupyter-notebook knn machine-learning pandas price python scikit-learn spot spot-instances spot-price

Last synced: 11 Oct 2024

https://github.com/sylvchev/simple_esn

simple Echo State Networks integrated with scikit-learn

esn reservoir scikit-learn

Last synced: 13 Nov 2024

https://github.com/solygambas/mlops-projects

Hands-on MLOps projects to explore and learn the practical aspects of machine learning engineering for production.

docker fastapi google-cloud google-cloud-platform huggingface huggingface-transformers keras kubectl kubeflow kubernetes machine-learning mlops python scikit-learn tensorflow

Last synced: 27 Oct 2024

https://github.com/qinhanmin2014/tiny-sklearn

Tiny implementation of important algorithms in scikit-learn. Useful when understanding ML algorithms and scikit-learn.

machine-learning machine-learning-algorithms scikit-learn

Last synced: 22 Oct 2024

https://github.com/tslu1s/tsforecasting

TSForecasting: Automated Time Series Forecasting Framework

autogluon automated-forecasting automated-timeseries-forecasting automl automl-pipeline catboost data-science forecasting lightgbm machine-learning python scikit-learn timeseries timeseries-analysis timeseries-forecasting xgboost

Last synced: 09 Nov 2024

https://github.com/pyronear/pyro-risks

Data science for wildfire risk forecasting and monitoring

python3 scikit-learn wildfire-forecasting

Last synced: 08 Aug 2024

https://github.com/wardbrian/scikit-stan

A sklearn style interface to Stan regression models

python scikit-learn sklearn-compatible stan

Last synced: 31 Oct 2024

https://github.com/marcogdepinto/python-for-data-analysis-and-machine-learning

This repo contains the projects made for the course of Jose Portilla on Udemy.

analysis data-analysis deep-neural-networks exercise ipynb jupyter-notebook machine-learning numpy pandas python scikit-learn seaborn

Last synced: 11 Oct 2024

https://github.com/jancervenka/turbofan_failure

Aircraft engine failure prediction model

lstm prediction-model python scikit-learn svm tensorflow

Last synced: 06 Nov 2024